Abstract

The complex nature of survey data changes the
distributions of statistics associated with logistic
regression models. The variances in the traditional logistic
regression models are generally too small, leading to overly
liberal tests. Roberts, Rao, Kumar (1987) provide a method
for constructing approximate tests when a separate estimator
for the covariance matrix is available. I apply this method
with some modifications and the variance estimator described
in Fisher et al (1993) to the CPS Survey split panel data.